Summary of On Efficient and Statistical Quality Estimation For Data Annotation, by Jan-christoph Klie et al.
On Efficient and Statistical Quality Estimation for Data Annotationby Jan-Christoph Klie, Juan Haladjian, Marc Kirchner,…
Summary of Data Contamination Calibration For Black-box Llms, by Wentao Ye et al.
Data Contamination Calibration for Black-box LLMsby Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang…
Summary of Wispermed at Biolaysumm: Adapting Autoregressive Large Language Models For Lay Summarization Of Scientific Articles, by Tabea M. G. Pakull et al.
WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articlesby Tabea…
Summary of Adaptive Batch Normalization Networks For Adversarial Robustness, by Shao-yuan Lo et al.
Adaptive Batch Normalization Networks for Adversarial Robustnessby Shao-Yuan Lo, Vishal M. PatelFirst submitted to arxiv…
Summary of Semantic Trajectory Data Mining with Llm-informed Poi Classification, by Yifan Liu et al.
Semantic Trajectory Data Mining with LLM-Informed POI Classificationby Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun…
Summary of Feasibility Consistent Representation Learning For Safe Reinforcement Learning, by Zhepeng Cen et al.
Feasibility Consistent Representation Learning for Safe Reinforcement Learningby Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding…
Summary of Highway Graph to Accelerate Reinforcement Learning, by Zidu Yin et al.
Highway Graph to Accelerate Reinforcement Learningby Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht,…
Summary of Degree Of Irrationality: Sentiment and Implied Volatility Surface, by Jiahao Weng and Yan Xie
Degree of Irrationality: Sentiment and Implied Volatility Surfaceby Jiahao Weng, Yan XieFirst submitted to arxiv…
Summary of What Radio Waves Tell Us About Sleep, by Hao He et al.
What Radio Waves Tell Us about Sleepby Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher,…
Summary of Learning Future Representation with Synthetic Observations For Sample-efficient Reinforcement Learning, by Xin Liu et al.
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learningby Xin Liu, Yaran Chen, Dongbin…